Design, optimize, and version prompts for production voice and chat LLM applications.
Architect and orchestrate multi-agent systems for complex conversations.
Build automated testing and validation frameworks for LLM outputs.
Tuotempo transforms healthcare experiences through intelligent digital solutions and is a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with vibrant hubs in Bologna or Barcelona.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Establish the technical vision for our AI product infrastructure.
Develop frameworks that make LLM integration seamless and reliable; building APIs and SDKs that allow LLMs to interface with Wealthsimple data and functionality.
Build new AI-powered product capabilities from 0 → 1; collaborating directly with product teams to bring AI features to life.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.
Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets.
Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
Own RAG end‑to-end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding.
Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.
Designing and building AI-powered features and tooling used by customers and internal teams.
Owning fullstack solutions that include frontend, backend, and AI components.
Establishing patterns, guardrails, and examples that other engineers can safely build on.
FlowFuse is a company that builds real product features and internal tooling that apply artificial intelligence to practical user and engineering problems. They foster a remote, async-first environment across multiple time zones where pragmatic use of AI tools is encouraged to accelerate development and improve outcomes.
Design and implement agentic architecture, defining context management, data flow, and action orchestration. Build AI variables capable of autonomous action loops to enrich leads and trigger actions. Deliver Copilot v1, initially semi-agentic, with potential for autonomous workflows, while implementing monitoring of all output.
lemlist is a global B2B SaaS business with $43M ARR, fully bootstrapped, profitable, and growing fast, shipping one of the most loved Sales Engagement Platforms worldwide.
Build AI Developer Tool Features: Implement features for AI-powered developer tools such as code review assistants, test generators, deployment diagnostics, and on-call assistance tools.
Implement LLM Integrations: Build integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response handling, error management, and performance optimization.
Contribute to Platform Infrastructure: Help build self-service platform capabilities such as deployment pipelines, observability integration, security controls, and operational tooling that enable teams to rapidly deploy AI developer tools.
At Docker, we make app development easier so developers can focus on what matters.
Research, Document, Test, and Ideate: Explore the best ways to achieve our customers’ goals using LLMs and other AI tools.
Master Our Dialogue Platform: Become an expert, answer questions, and train others on prompting both within and outside of our platform.
Train Our AIs: Utilize prompting, knowledge-base creation, and fine-tuning to enhance our AI capabilities.
1mind is a platform that deploys multimodal Superhumans for revenue teams, combining a face, a voice, and a GTM brain. The company has a remote-first, fast-moving culture with ownership, autonomy, and impact from day one.
Build resilient AI Agents using LangGraph and microservices. Develop complex automation workflows in n8n. Collaborate with Internal Business Analysts to focus on coding, not guessing requirements.
At Gcore, you’ll help design and deliver that foundation for an AI-driven world, being a global provider of infrastructure and software solutions for AI, cloud, network, and security.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Integrate AI platform APIs across our product line - both internally and externally
Develop and refine LLM prompt chains and agents to meet the customer’s needs and expectations
Create eval systems to fine tune our agents to better suit the needs of our customers
Hone is revolutionizing the way companies develop and support their managers and teams with its AI-powered people development platform. They are funded by leading VCs and have raised over $50M to support their mission, with a remote-first and fully-distributed organization.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Design, develop, and deploy agentic AI solutions for clients.
Build multi-agent systems and integrate models with enterprise systems.
Collaborate with clients and engineers to create scalable solutions.
AHEAD builds platforms for digital business, weaving together advances in cloud infrastructure, automation, analytics, and software delivery to help enterprises deliver on digital transformation. They prioritize creating a culture of belonging where all perspectives are valued and heard.
Design, refine, and evaluate prompts, context, and system instructions for various product use cases
Conduct experiments to assess model behavior, accuracy, and cost impact with new or existing prompts
Continuously improve prompt engineering processes by adopting new techniques and technologies
Applied Systems transforms the insurance industry. They have 40+ years of experience and are building a team ready to learn and deliver innovative software and services.
Design, develop, and deploy AI-driven applications and services.
Build and integrate LLM-based solutions using frameworks such as LangChain.
Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.
CI&T are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Design cloud-native architectures for agentic AI workloads using Kubernetes/EKS, Terraform, Docker, serverless APIs, AWS Batch, and async orchestration frameworks.
Define agentic system patterns using LangChain, LangGraph, Autogen, LlamaIndex, Pinecone, and other multi-agent frameworks; ensure consistency of prompt/tool design.
Architect vector database, RAG, embeddings pipelines, and model-serving endpoints (LLM/SLM) with strong emphasis on scalability and latency management.
AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation and analytics, and software delivery, helping enterprises deliver on the promise of digital transformation. They prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard.
Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.
Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.
Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.
ClickUp is building the future of work by creating a converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search. Their AI-powered platform helps teams break free from silos and unlock new levels of productivity.
Drive Prompt’s mission to improve healthcare through modern technology including AI
Lead AI projects from ideation → architecture → production → iteration until tools are widely adopted and loved!
Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. They’ve established themselves as the go-to platform in the space and are rapidly growing their market share by delivering software people love.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
Improve reliability, performance, and safety across existing Python codebases.
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.